To solve this problem, we need to calculate two things: the arithmetic mean and the median of the given scores, and then find their difference.
Step 1: Calculate the Arithmetic Mean
The arithmetic mean (average) is calculated by dividing the sum of all values by the number of values. Here, we have the scores: 19, 4, 17, 7, 15, 2, 18, 11, 15, 17, 19, 4, 3, 2, 6, 9.
First, calculate the sum of all scores:
19 + 4 + 17 + 7 + 15 + 2 + 18 + 11 + 15 + 17 + 19 + 4 + 3 + 2 + 6 + 9 = 168
Now, divide the sum by the number of students (16) to find the mean:
\text{Mean} = \frac{168}{16} = 10.5
Step 2: Calculate the Median
The median is the middle value in a list when the numbers are sorted in ascending order. For an even number of observations, as in this case, the median is the average of the two middle numbers.
First, sort the scores: 2, 2, 3, 4, 4, 6, 7, 9, 11, 15, 15, 17, 17, 18, 19, 19.
Since there are 16 scores, the median will be the average of the 8th and 9th values:
The 8th and 9th values are 9 and 11, respectively.
\text{Median} = \frac{9 + 11}{2} = 10
Step 3: Find the Difference
The difference between the arithmetic mean and the median is:
10.5 - 10 = 0.5
Conclusion: The difference between the arithmetic mean and the median of the scores is 0.5. Thus, the correct answer is 0.5.
Demand for seats in a university is at its highest in the fall; demand also trends to grow and fall off in 25 year waves. In time service forecasting, the former demand characteristic would be called ______ and the latter would be called _______.
The system of combining two or more overlapping series of index numbers to obtain a single continuous series is called
The rise in the number of patients due to heatstroke is an example of:
According to government data, 24 percent of teenagers in India under the age of 18 years live in households with incomes that are classified at a particular income level. A simple random sample of 400 teenagers in India under the age of 18 years was selected for a study of learning. If the government data is correct, which of the following best approximates the probability that at least 27 per cent of the teenagers in the sample live in households that are classified at a particular income level?
Which index satisfies the factor reversal test?